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A survey on network security for cyber–physical systems: From threats to resilient design
Cyber-physical systems (CPS) are considered the integration of physical systems in the real
world and control software in computing systems. In CPS, the real world and the computing …
world and control software in computing systems. In CPS, the real world and the computing …
DDoS attack and detection methods in internet-enabled networks: Concept, research perspectives, and challenges
In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …
security threats in internet-enabled networks, with many internet of things (IoT) devices …
Distributed denial-of-service (DDoS) attacks and defense mechanisms in various web-enabled computing platforms: issues, challenges, and future research directions
A Singh, BB Gupta - International Journal on Semantic Web and …, 2022 - igi-global.com
The demand for Internet security has escalated in the last two decades because the rapid
proliferation in the number of Internet users has presented attackers with new detrimental …
proliferation in the number of Internet users has presented attackers with new detrimental …
A framework for malicious traffic detection in IoT healthcare environment
The Internet of things (IoT) has emerged as a topic of intense interest among the research
and industrial community as it has had a revolutionary impact on human life. The rapid …
and industrial community as it has had a revolutionary impact on human life. The rapid …
Detecting Internet of Things attacks using distributed deep learning
The reliability of Internet of Things (IoT) connected devices is heavily dependent on the
security model employed to protect user data and prevent devices from engaging in …
security model employed to protect user data and prevent devices from engaging in …
SDN-based architecture for transport and application layer DDoS attack detection by using machine and deep learning
Distributed Denial of Service (DDoS) attacks represent the most common and critical attacks
targeting conventional and new generation networks, such as the Internet of Things (IoT) …
targeting conventional and new generation networks, such as the Internet of Things (IoT) …
A comprehensive review of vulnerabilities and AI-enabled defense against DDoS attacks for securing cloud services
The advent of cloud computing has made a global impact by providing on-demand services,
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …
elasticity, scalability, and flexibility, hence delivering cost-effective resources to end users in …
Smart detection: an online approach for DoS/DDoS attack detection using machine learning
Users and Internet service providers (ISPs) are constantly affected by denial‐of‐service
(DoS) attacks. This cyber threat continues to grow even with the development of new …
(DoS) attacks. This cyber threat continues to grow even with the development of new …
Defense mechanisms against DDoS attacks in a cloud computing environment: State-of-the-art and research challenges
The salient features of cloud computing (such as on-demand self-service, resource pooling,
broad network access, rapid elasticity, and measured service) are being exploited by …
broad network access, rapid elasticity, and measured service) are being exploited by …
A comprehensive survey of databases and deep learning methods for cybersecurity and intrusion detection systems
This survey presents a comprehensive overview of machine learning methods for
cybersecurity intrusion detection systems, with a specific focus on recent approaches based …
cybersecurity intrusion detection systems, with a specific focus on recent approaches based …